How do neural networks learn?

Can you explain how neural networks learn from data?

Sure! Neural networks learn by adjusting their weights based on the data they process during training.

What is the role of the training data in this process?

Training data is crucial as it provides the examples that the neural network uses to learn patterns and make predictions.

How do they improve their accuracy over time?

They improve accuracy through a process called backpropagation, where they minimize the error by updating weights.

Are there different types of neural networks for different tasks?

Yes, there are various types like convolutional neural networks for image tasks and recurrent neural networks for sequential data.